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. 2014 May 27;9(5):e97676. doi: 10.1371/journal.pone.0097676

Table 3. Negative binomial regression predicting use of consultations and prescriptions based on measures of physical activity.

IRRs for number of consultations IRRs for number of prescriptions
Model 1 Model 2 Model 1 Model 2
STEPS p = 0.652 p = 0.591 p = 0.169 p = 0.491
Low 1.15 (0.83–1.32) 1.08 (0.83–1.39) 1.27 (0.97–1.66) 1.18 (0.89–1.56)
Medium 0.95 (0.78–1.17) 0.96 (0.78–1.17) 1.06 (0.82–1.36) 1.06 (0.82–1.36)
High (ref) 1.00 1.00 1.00 1.00
MVPA p = 0.164 p = 0.113 p  = 0.006 p  = 0.009
Low 1.25 (0.99–1.57) 1.29 (1.02–1.64) 1.53 (1.18–2.00) 1.47 (1.12–1.93)
Medium 1.15 (0.92–1.44) 1.16(0.92–1.45) 1.41 (1.09–1.84) 1.45 (1.12–1.87)
High (ref) 1.00 1.00 1.00 1.00

IRR (incidence rate ratio), which is defined as e B, where B is the regression coefficients.

Model 1: adjusting a baseline covariates, including age, gender, educational attainment, IMD tertile, weight status, and number of self-reported chronic illnesses, and also GP Management System, and time lapse to follow-up;

Model 2: additionally adjusting for lower limb function.